Senior Solutions Architect, Agentic AI
NVIDIA Corporation · Santa Clara, CA
$184,000–$287,500from the description
Jul 15, 2026
Santa Clara, CA
Jul 21, 2026
What this job asks for AI summary
A senior technical role focused on helping large enterprise software companies build and ship production-ready agentic AI systems on GPU-accelerated infrastructure. Day-to-day work spans architecture reviews, hands-on prototyping, performance tuning, and guiding partners through model customization and multi-agent deployment. Suits an experienced engineer or solutions architect with deep practical knowledge of LLMs, RAG, and agentic frameworks who is comfortable bridging partner engineering teams and internal product organizations.
Senior level · 8+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4,550 people nationally plausibly meet what this posting asks for (software developers). range 940–6,900
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role sits between Solutions Architect and hands-on Software Developer — the JD emphasizes building PoCs, writing code, and leading technical delivery rather than pure advisory work, which tips the primary SOC toward 15-1252 (Software Developers); 15-1211 (Computer Systems Analysts) is a credible runner-up given the partner-facing architecture review and field enablement duties.
Degree requirement is listed as 'BS/MS/PhD … or equivalent experience', so no formal degree is hard-gated.
Agent harness frameworks (LangGraph, LangChain, LlamaIndex, CrewAI, Semantic Kernel, OpenAI Agents SDK) appear in the required section but are framed as 'such as … or similar', indicating interchangeability; they are captured as a single skill with alternatives.
NVIDIA-specific software stack (NIM, NeMo Framework, NeMo Retriever, NeMo Guardrails, NeMo Agent Toolkit, Dynamo, Nemotron, Triton, TensorRT-LLM, NIM Operator) appears under the 'Ways to stand out from the crowd' heading, which is a preferred/bonus section.
Compensation is base salary only; the posting notes additional eligibility for equity and benefits.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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